NetKV: Network-Aware Decode Instance Selection for Disaggregated LLM Inference
Disaggregated LLM inference forces the KV cache to traverse the datacenter network before decoding begins, so transfer time enters directly into the Time to First Token (TTFT) budget. Current schedulers route on compute load and prefix-cache locality alone, ignoring the topological distance and dynamic congestion between prefill and decode instances. We close this gap with a thin operator-to-scheduler interface, the network cost oracle, and we prove that ignoring the network term renders cache-aware-only scheduling arbitrarily suboptimal as context length grows. NetKV, the O(|D|) per-request greedy that consumes this oracle, has tier rankings that are provably robust to stale telemetry. O...
| Authors | Mubarak Adetunji Ojewale |
|---|---|
| Primary category | cs.PF |
| Published | 2 June 2026 |
| Last updated at source | 2 June 2026 |
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